code: def _get_cache_context(
      self,
      metadata_handle,
      custom_pipeline_node=None,
      custom_pipeline_info=None,
      executor_spec=None,
      custom_input_artifacts=None,
      custom_output_artifacts=None,
      custom_parameters=None,
      custom_module_content=None,
  ):
      with fileio.open(self._module_file_path, "w+") as f:
          f.write(custom_module_content or self._module_file_content)
      return cache_utils.get_cache_context(
          metadata_handle,
          custom_pipeline_node or self._pipeline_node,
          custom_pipeline_info or self._pipeline_info,
          executor_spec=(executor_spec or self._executor_spec),
          input_artifacts=(
              custom_input_artifacts or self._input_artifacts
          ),
          output_artifacts=(
              custom_output_artifacts or self._output_artifacts
          ),
          parameters=(custom_parameters or self._parameters),
      )
  
imports: import os
  from unittest import mock
  import tensorflow
  from tfx.dsl.io import fileio
  from tfx.orchestration import metadata
  from tfx.orchestration.portable import cache_utils
  from tfx.orchestration.portable import execution_publish_utils
  from tfx.orchestration.portable.mlmd import context_lib
  from tfx.proto.orchestration import executable_spec_pb2
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.types import standard_artifacts
  from tfx.utils import test_case_utils
  from google.protobuf import text_format
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 2 for calling the CacheUtilsTest obj's underlying member method code with example usage: obj._get_cache_context(metadata_handle, custom_pipeline_node, custom_pipeline_info, executor_spec, custom_input_artifacts, custom_output_artifacts, custom_parameters, custom_module_content) and returns: cache_utils